Overview
Brought to you by YData
Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 907 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 353.6 KiB |
| Average record size in memory | 399.2 B |
Variable types
| Text | 4 |
|---|---|
| Categorical | 1 |
| Numeric | 7 |
Duration_Years is highly overall correlated with Level | High correlation |
Exchange_Rate is highly overall correlated with Insurance_USD | High correlation |
Insurance_USD is highly overall correlated with Exchange_Rate and 2 other fields | High correlation |
Level is highly overall correlated with Duration_Years | High correlation |
Living_Cost_Index is highly overall correlated with Insurance_USD and 1 other fields | High correlation |
Rent_USD is highly overall correlated with Insurance_USD and 2 other fields | High correlation |
Tuition_USD is highly overall correlated with Rent_USD and 1 other fields | High correlation |
Visa_Fee_USD is highly overall correlated with Tuition_USD | High correlation |
Tuition_USD has 103 (11.4%) zeros | Zeros |
Reproduction
| Analysis started | 2025-05-24 15:45:55.627966 |
|---|---|
| Analysis finished | 2025-05-24 15:46:07.557385 |
| Duration | 11.93 seconds |
| Software version | ydata-profiling vv4.16.1 |
| Download configuration | config.json |
Variables
Country
Text
| Distinct | 71 |
|---|---|
| Distinct (%) | 7.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.4 KiB |
Length
| Max length | 18 |
|---|---|
| Median length | 12 |
| Mean length | 6.5104741 |
| Min length | 2 |
Unique
| Unique | 7 ? |
|---|---|
| Unique (%) | 0.8% |
Sample
| 1st row | USA |
|---|---|
| 2nd row | UK |
| 3rd row | Canada |
| 4th row | Australia |
| 5th row | Germany |
| Value | Count | Frequency (%) |
| uk | 93 | 9.7% |
| australia | 86 | 8.9% |
| usa | 78 | 8.1% |
| canada | 76 | 7.9% |
| germany | 33 | 3.4% |
| france | 27 | 2.8% |
| south | 24 | 2.5% |
| korea | 23 | 2.4% |
| netherlands | 21 | 2.2% |
| switzerland | 20 | 2.1% |
| Other values (67) | 481 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 996 | |
| n | 445 | 7.5% |
| r | 419 | 7.1% |
| e | 382 | 6.5% |
| i | 360 | 6.1% |
| l | 275 | 4.7% |
| u | 236 | 4.0% |
| d | 220 | 3.7% |
| t | 216 | 3.7% |
| A | 203 | 3.4% |
| Other values (36) | 2153 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5905 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 996 | |
| n | 445 | 7.5% |
| r | 419 | 7.1% |
| e | 382 | 6.5% |
| i | 360 | 6.1% |
| l | 275 | 4.7% |
| u | 236 | 4.0% |
| d | 220 | 3.7% |
| t | 216 | 3.7% |
| A | 203 | 3.4% |
| Other values (36) | 2153 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5905 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 996 | |
| n | 445 | 7.5% |
| r | 419 | 7.1% |
| e | 382 | 6.5% |
| i | 360 | 6.1% |
| l | 275 | 4.7% |
| u | 236 | 4.0% |
| d | 220 | 3.7% |
| t | 216 | 3.7% |
| A | 203 | 3.4% |
| Other values (36) | 2153 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5905 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 996 | |
| n | 445 | 7.5% |
| r | 419 | 7.1% |
| e | 382 | 6.5% |
| i | 360 | 6.1% |
| l | 275 | 4.7% |
| u | 236 | 4.0% |
| d | 220 | 3.7% |
| t | 216 | 3.7% |
| A | 203 | 3.4% |
| Other values (36) | 2153 |
City
Text
| Distinct | 556 |
|---|---|
| Distinct (%) | 61.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 57.6 KiB |
Length
| Max length | 17 |
|---|---|
| Median length | 15 |
| Mean length | 7.567806 |
| Min length | 2 |
Unique
| Unique | 390 ? |
|---|---|
| Unique (%) | 43.0% |
Sample
| 1st row | Cambridge |
|---|---|
| 2nd row | London |
| 3rd row | Toronto |
| 4th row | Melbourne |
| 5th row | Munich |
| Value | Count | Frequency (%) |
| singapore | 18 | 1.8% |
| melbourne | 11 | 1.1% |
| sydney | 11 | 1.1% |
| london | 11 | 1.1% |
| city | 10 | 1.0% |
| san | 9 | 0.9% |
| canberra | 8 | 0.8% |
| brisbane | 7 | 0.7% |
| newcastle | 7 | 0.7% |
| coast | 7 | 0.7% |
| Other values (585) | 900 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 749 | 10.9% |
| e | 590 | 8.6% |
| n | 530 | 7.7% |
| o | 507 | 7.4% |
| r | 457 | 6.7% |
| i | 407 | 5.9% |
| l | 313 | 4.6% |
| t | 299 | 4.4% |
| s | 273 | 4.0% |
| u | 227 | 3.3% |
| Other values (52) | 2512 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 6864 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 749 | 10.9% |
| e | 590 | 8.6% |
| n | 530 | 7.7% |
| o | 507 | 7.4% |
| r | 457 | 6.7% |
| i | 407 | 5.9% |
| l | 313 | 4.6% |
| t | 299 | 4.4% |
| s | 273 | 4.0% |
| u | 227 | 3.3% |
| Other values (52) | 2512 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 6864 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 749 | 10.9% |
| e | 590 | 8.6% |
| n | 530 | 7.7% |
| o | 507 | 7.4% |
| r | 457 | 6.7% |
| i | 407 | 5.9% |
| l | 313 | 4.6% |
| t | 299 | 4.4% |
| s | 273 | 4.0% |
| u | 227 | 3.3% |
| Other values (52) | 2512 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 6864 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 749 | 10.9% |
| e | 590 | 8.6% |
| n | 530 | 7.7% |
| o | 507 | 7.4% |
| r | 457 | 6.7% |
| i | 407 | 5.9% |
| l | 313 | 4.6% |
| t | 299 | 4.4% |
| s | 273 | 4.0% |
| u | 227 | 3.3% |
| Other values (52) | 2512 |
University
Text
| Distinct | 622 |
|---|---|
| Distinct (%) | 68.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 69.1 KiB |
Length
| Max length | 50 |
|---|---|
| Median length | 34 |
| Mean length | 20.040794 |
| Min length | 3 |
Unique
| Unique | 454 ? |
|---|---|
| Unique (%) | 50.1% |
Sample
| 1st row | Harvard University |
|---|---|
| 2nd row | Imperial College London |
| 3rd row | University of Toronto |
| 4th row | University of Melbourne |
| 5th row | Technical University of Munich |
| Value | Count | Frequency (%) |
| university | 688 | |
| of | 389 | 16.1% |
| universidad | 34 | 1.4% |
| national | 25 | 1.0% |
| de | 23 | 1.0% |
| technology | 17 | 0.7% |
| state | 15 | 0.6% |
| tu | 15 | 0.6% |
| college | 12 | 0.5% |
| southern | 10 | 0.4% |
| Other values (699) | 1189 |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 1998 | 11.0% |
| 1510 | 8.3% | |
| e | 1501 | 8.3% |
| n | 1413 | 7.8% |
| r | 1184 | 6.5% |
| t | 1104 | 6.1% |
| s | 1057 | 5.8% |
| o | 964 | 5.3% |
| a | 885 | 4.9% |
| U | 838 | 4.6% |
| Other values (57) | 5723 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 18177 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| i | 1998 | 11.0% |
| 1510 | 8.3% | |
| e | 1501 | 8.3% |
| n | 1413 | 7.8% |
| r | 1184 | 6.5% |
| t | 1104 | 6.1% |
| s | 1057 | 5.8% |
| o | 964 | 5.3% |
| a | 885 | 4.9% |
| U | 838 | 4.6% |
| Other values (57) | 5723 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 18177 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| i | 1998 | 11.0% |
| 1510 | 8.3% | |
| e | 1501 | 8.3% |
| n | 1413 | 7.8% |
| r | 1184 | 6.5% |
| t | 1104 | 6.1% |
| s | 1057 | 5.8% |
| o | 964 | 5.3% |
| a | 885 | 4.9% |
| U | 838 | 4.6% |
| Other values (57) | 5723 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 18177 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| i | 1998 | 11.0% |
| 1510 | 8.3% | |
| e | 1501 | 8.3% |
| n | 1413 | 7.8% |
| r | 1184 | 6.5% |
| t | 1104 | 6.1% |
| s | 1057 | 5.8% |
| o | 964 | 5.3% |
| a | 885 | 4.9% |
| U | 838 | 4.6% |
| Other values (57) | 5723 |
Program
Text
| Distinct | 92 |
|---|---|
| Distinct (%) | 10.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 65.4 KiB |
Length
| Max length | 25 |
|---|---|
| Median length | 23 |
| Mean length | 16.637266 |
| Min length | 6 |
Unique
| Unique | 53 ? |
|---|---|
| Unique (%) | 5.8% |
Sample
| 1st row | Computer Science |
|---|---|
| 2nd row | Data Science |
| 3rd row | Business Analytics |
| 4th row | Engineering |
| 5th row | Mechanical Engineering |
| Value | Count | Frequency (%) |
| science | 411 | |
| computer | 388 | |
| engineering | 184 | |
| data | 153 | 8.8% |
| software | 83 | 4.8% |
| information | 68 | 3.9% |
| analytics | 55 | 3.2% |
| artificial | 53 | 3.0% |
| intelligence | 53 | 3.0% |
| systems | 53 | 3.0% |
| Other values (60) | 240 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 2094 | |
| n | 1435 | 9.5% |
| i | 1303 | 8.6% |
| c | 1137 | 7.5% |
| t | 1058 | 7.0% |
| r | 843 | 5.6% |
| 834 | 5.5% | |
| o | 804 | 5.3% |
| a | 679 | 4.5% |
| m | 583 | 3.9% |
| Other values (30) | 4320 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 15090 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 2094 | |
| n | 1435 | 9.5% |
| i | 1303 | 8.6% |
| c | 1137 | 7.5% |
| t | 1058 | 7.0% |
| r | 843 | 5.6% |
| 834 | 5.5% | |
| o | 804 | 5.3% |
| a | 679 | 4.5% |
| m | 583 | 3.9% |
| Other values (30) | 4320 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 15090 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 2094 | |
| n | 1435 | 9.5% |
| i | 1303 | 8.6% |
| c | 1137 | 7.5% |
| t | 1058 | 7.0% |
| r | 843 | 5.6% |
| 834 | 5.5% | |
| o | 804 | 5.3% |
| a | 679 | 4.5% |
| m | 583 | 3.9% |
| Other values (30) | 4320 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 15090 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 2094 | |
| n | 1435 | 9.5% |
| i | 1303 | 8.6% |
| c | 1137 | 7.5% |
| t | 1058 | 7.0% |
| r | 843 | 5.6% |
| 834 | 5.5% | |
| o | 804 | 5.3% |
| a | 679 | 4.5% |
| m | 583 | 3.9% |
| Other values (30) | 4320 |
Level
Categorical
High correlation
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.0 KiB |
| Master | |
|---|---|
| Bachelor | |
| PhD |
Length
| Max length | 8 |
|---|---|
| Median length | 6 |
| Mean length | 6.1289967 |
| Min length | 3 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Master |
|---|---|
| 2nd row | Master |
| 3rd row | Master |
| 4th row | Master |
| 5th row | Master |
Common Values
| Value | Count | Frequency (%) |
| Master | 451 | |
| Bachelor | 297 | |
| PhD | 159 | 17.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| master | 451 | |
| bachelor | 297 | |
| phd | 159 | 17.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 748 | |
| e | 748 | |
| r | 748 | |
| h | 456 | |
| M | 451 | |
| s | 451 | |
| t | 451 | |
| B | 297 | 5.3% |
| c | 297 | 5.3% |
| l | 297 | 5.3% |
| Other values (3) | 615 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5559 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 748 | |
| e | 748 | |
| r | 748 | |
| h | 456 | |
| M | 451 | |
| s | 451 | |
| t | 451 | |
| B | 297 | 5.3% |
| c | 297 | 5.3% |
| l | 297 | 5.3% |
| Other values (3) | 615 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5559 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 748 | |
| e | 748 | |
| r | 748 | |
| h | 456 | |
| M | 451 | |
| s | 451 | |
| t | 451 | |
| B | 297 | 5.3% |
| c | 297 | 5.3% |
| l | 297 | 5.3% |
| Other values (3) | 615 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5559 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 748 | |
| e | 748 | |
| r | 748 | |
| h | 456 | |
| M | 451 | |
| s | 451 | |
| t | 451 | |
| B | 297 | 5.3% |
| c | 297 | 5.3% |
| l | 297 | 5.3% |
| Other values (3) | 615 |
Duration_Years
Real number (ℝ)
High correlation
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.8368247 |
| Minimum | 1 |
|---|---|
| Maximum | 5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.2 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 2 |
| median | 3 |
| Q3 | 4 |
| 95-th percentile | 4 |
| Maximum | 5 |
| Range | 4 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 0.94544922 |
|---|---|
| Coefficient of variation (CV) | 0.33327728 |
| Kurtosis | -1.2433907 |
| Mean | 2.8368247 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.33722348 |
| Sum | 2573 |
| Variance | 0.89387423 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2 | 423 | |
| 4 | 276 | |
| 3 | 171 | |
| 5 | 17 | 1.9% |
| 1 | 16 | 1.8% |
| 2.5 | 3 | 0.3% |
| 1.5 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 1 | 16 | 1.8% |
| 1.5 | 1 | 0.1% |
| 2 | 423 | |
| 2.5 | 3 | 0.3% |
| 3 | 171 | |
| 4 | 276 | |
| 5 | 17 | 1.9% |
| Value | Count | Frequency (%) |
| 5 | 17 | 1.9% |
| 4 | 276 | |
| 3 | 171 | |
| 2.5 | 3 | 0.3% |
| 2 | 423 | |
| 1.5 | 1 | 0.1% |
| 1 | 16 | 1.8% |
Tuition_USD
Real number (ℝ)
High correlation Zeros
| Distinct | 274 |
|---|---|
| Distinct (%) | 30.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16705.017 |
| Minimum | 0 |
|---|---|
| Maximum | 62000 |
| Zeros | 103 |
| Zeros (%) | 11.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2850 |
| median | 7500 |
| Q3 | 31100 |
| 95-th percentile | 48000 |
| Maximum | 62000 |
| Range | 62000 |
| Interquartile range (IQR) | 28250 |
Descriptive statistics
| Standard deviation | 16582.385 |
|---|---|
| Coefficient of variation (CV) | 0.99265902 |
| Kurtosis | -0.79538039 |
| Mean | 16705.017 |
| Median Absolute Deviation (MAD) | 7500 |
| Skewness | 0.71268849 |
| Sum | 15151450 |
| Variance | 2.749755 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 103 | 11.4% |
| 3500 | 21 | 2.3% |
| 1500 | 20 | 2.2% |
| 4200 | 15 | 1.7% |
| 3800 | 14 | 1.5% |
| 35000 | 13 | 1.4% |
| 4500 | 12 | 1.3% |
| 4000 | 10 | 1.1% |
| 3200 | 10 | 1.1% |
| 31200 | 10 | 1.1% |
| Other values (264) | 679 |
| Value | Count | Frequency (%) |
| 0 | 103 | |
| 400 | 7 | 0.8% |
| 450 | 3 | 0.3% |
| 500 | 9 | 1.0% |
| 800 | 2 | 0.2% |
| 900 | 2 | 0.2% |
| 1000 | 3 | 0.3% |
| 1100 | 2 | 0.2% |
| 1200 | 4 | 0.4% |
| 1300 | 3 | 0.3% |
| Value | Count | Frequency (%) |
| 62000 | 2 | 0.2% |
| 58000 | 4 | |
| 57000 | 1 | 0.1% |
| 56000 | 3 | |
| 55800 | 1 | 0.1% |
| 55400 | 1 | 0.1% |
| 55000 | 1 | 0.1% |
| 54500 | 1 | 0.1% |
| 54200 | 1 | 0.1% |
| 54000 | 5 |
Living_Cost_Index
Real number (ℝ)
High correlation
| Distinct | 225 |
|---|---|
| Distinct (%) | 24.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 64.437486 |
| Minimum | 27.8 |
|---|---|
| Maximum | 122.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.2 KiB |
Quantile statistics
| Minimum | 27.8 |
|---|---|
| 5-th percentile | 39.8 |
| Q1 | 56.3 |
| median | 67.5 |
| Q3 | 72.2 |
| 95-th percentile | 83.8 |
| Maximum | 122.4 |
| Range | 94.6 |
| Interquartile range (IQR) | 15.9 |
Descriptive statistics
| Standard deviation | 14.056333 |
|---|---|
| Coefficient of variation (CV) | 0.21813906 |
| Kurtosis | 0.73565883 |
| Mean | 64.437486 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | -0.1066651 |
| Sum | 58444.8 |
| Variance | 197.58049 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 71.2 | 28 | 3.1% |
| 68.9 | 28 | 3.1% |
| 69.8 | 23 | 2.5% |
| 65.4 | 22 | 2.4% |
| 68.5 | 20 | 2.2% |
| 67.8 | 18 | 2.0% |
| 65.8 | 18 | 2.0% |
| 64.5 | 16 | 1.8% |
| 83.2 | 14 | 1.5% |
| 72.8 | 13 | 1.4% |
| Other values (215) | 707 |
| Value | Count | Frequency (%) |
| 27.8 | 1 | |
| 28.5 | 1 | |
| 29.8 | 2 | |
| 30.5 | 2 | |
| 31.2 | 1 | |
| 31.8 | 2 | |
| 32.5 | 1 | |
| 33.2 | 2 | |
| 34.5 | 1 | |
| 34.8 | 1 |
| Value | Count | Frequency (%) |
| 122.4 | 1 | 0.1% |
| 119.8 | 1 | 0.1% |
| 116.5 | 1 | 0.1% |
| 114.3 | 1 | 0.1% |
| 112.1 | 1 | 0.1% |
| 110.4 | 1 | 0.1% |
| 108.9 | 1 | 0.1% |
| 107.8 | 1 | 0.1% |
| 100 | 3 | |
| 95.2 | 3 |
Rent_USD
Real number (ℝ)
High correlation
| Distinct | 67 |
|---|---|
| Distinct (%) | 7.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 969.20617 |
| Minimum | 150 |
|---|---|
| Maximum | 2500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.2 KiB |
Quantile statistics
| Minimum | 150 |
|---|---|
| 5-th percentile | 260 |
| Q1 | 545 |
| median | 900 |
| Q3 | 1300 |
| 95-th percentile | 1900 |
| Maximum | 2500 |
| Range | 2350 |
| Interquartile range (IQR) | 755 |
Descriptive statistics
| Standard deviation | 517.15475 |
|---|---|
| Coefficient of variation (CV) | 0.5335859 |
| Kurtosis | -0.32234527 |
| Mean | 969.20617 |
| Median Absolute Deviation (MAD) | 400 |
| Skewness | 0.53315801 |
| Sum | 879070 |
| Variance | 267449.04 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1100 | 54 | 6.0% |
| 900 | 51 | 5.6% |
| 1200 | 47 | 5.2% |
| 1000 | 46 | 5.1% |
| 800 | 41 | 4.5% |
| 950 | 40 | 4.4% |
| 1500 | 39 | 4.3% |
| 1400 | 36 | 4.0% |
| 1300 | 36 | 4.0% |
| 400 | 31 | 3.4% |
| Other values (57) | 486 |
| Value | Count | Frequency (%) |
| 150 | 1 | 0.1% |
| 160 | 4 | 0.4% |
| 170 | 3 | 0.3% |
| 180 | 6 | |
| 200 | 7 | |
| 220 | 4 | 0.4% |
| 230 | 2 | 0.2% |
| 240 | 5 | 0.6% |
| 250 | 13 | |
| 260 | 6 |
| Value | Count | Frequency (%) |
| 2500 | 3 | 0.3% |
| 2400 | 3 | 0.3% |
| 2300 | 5 | 0.6% |
| 2200 | 8 | 0.9% |
| 2100 | 8 | 0.9% |
| 2000 | 15 | |
| 1900 | 18 | |
| 1850 | 1 | 0.1% |
| 1800 | 23 | |
| 1700 | 21 |
Visa_Fee_USD
Real number (ℝ)
High correlation
| Distinct | 30 |
|---|---|
| Distinct (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 211.39691 |
| Minimum | 40 |
|---|---|
| Maximum | 490 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.2 KiB |
Quantile statistics
| Minimum | 40 |
|---|---|
| 5-th percentile | 80 |
| Q1 | 100 |
| median | 160 |
| Q3 | 240 |
| 95-th percentile | 490 |
| Maximum | 490 |
| Range | 450 |
| Interquartile range (IQR) | 140 |
Descriptive statistics
| Standard deviation | 143.43574 |
|---|---|
| Coefficient of variation (CV) | 0.67851388 |
| Kurtosis | -0.55259212 |
| Mean | 211.39691 |
| Median Absolute Deviation (MAD) | 70 |
| Skewness | 1.0000705 |
| Sum | 191737 |
| Variance | 20573.811 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=30)
| Value | Count | Frequency (%) |
| 160 | 103 | |
| 450 | 96 | 10.6% |
| 235 | 76 | 8.4% |
| 90 | 68 | 7.5% |
| 120 | 65 | 7.2% |
| 100 | 57 | 6.3% |
| 80 | 53 | 5.8% |
| 490 | 50 | 5.5% |
| 485 | 43 | 4.7% |
| 140 | 42 | 4.6% |
| Other values (20) | 254 |
| Value | Count | Frequency (%) |
| 40 | 8 | 0.9% |
| 60 | 6 | 0.7% |
| 70 | 6 | 0.7% |
| 75 | 21 | 2.3% |
| 80 | 53 | |
| 88 | 12 | 1.3% |
| 90 | 68 | |
| 99 | 27 | 3.0% |
| 100 | 57 | |
| 110 | 36 |
| Value | Count | Frequency (%) |
| 490 | 50 | |
| 485 | 43 | |
| 450 | 96 | |
| 350 | 10 | 1.1% |
| 330 | 8 | 0.9% |
| 275 | 10 | 1.1% |
| 270 | 8 | 0.9% |
| 250 | 1 | 0.1% |
| 245 | 1 | 0.1% |
| 235 | 76 |
Insurance_USD
Real number (ℝ)
High correlation
| Distinct | 20 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 700.07718 |
| Minimum | 200 |
|---|---|
| Maximum | 1500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.2 KiB |
Quantile statistics
| Minimum | 200 |
|---|---|
| 5-th percentile | 259 |
| Q1 | 450 |
| median | 650 |
| Q3 | 800 |
| 95-th percentile | 1500 |
| Maximum | 1500 |
| Range | 1300 |
| Interquartile range (IQR) | 350 |
Descriptive statistics
| Standard deviation | 320.37487 |
|---|---|
| Coefficient of variation (CV) | 0.45762794 |
| Kurtosis | 1.0388359 |
| Mean | 700.07718 |
| Median Absolute Deviation (MAD) | 150 |
| Skewness | 1.01755 |
| Sum | 634970 |
| Variance | 102640.06 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 800 | 167 | |
| 650 | 110 | |
| 600 | 85 | |
| 1500 | 78 | |
| 400 | 78 | |
| 750 | 61 | 6.7% |
| 300 | 45 | 5.0% |
| 900 | 42 | 4.6% |
| 700 | 31 | 3.4% |
| 350 | 28 | 3.1% |
| Other values (10) | 182 |
| Value | Count | Frequency (%) |
| 200 | 22 | 2.4% |
| 250 | 24 | 2.6% |
| 280 | 10 | 1.1% |
| 300 | 45 | |
| 320 | 5 | 0.6% |
| 350 | 28 | 3.1% |
| 400 | 78 | |
| 450 | 18 | 2.0% |
| 500 | 24 | 2.6% |
| 550 | 14 | 1.5% |
| Value | Count | Frequency (%) |
| 1500 | 78 | |
| 1200 | 20 | 2.2% |
| 900 | 42 | 4.6% |
| 850 | 24 | 2.6% |
| 800 | 167 | |
| 750 | 61 | 6.7% |
| 720 | 21 | 2.3% |
| 700 | 31 | 3.4% |
| 650 | 110 | |
| 600 | 85 |
Exchange_Rate
Real number (ℝ)
High correlation
| Distinct | 65 |
|---|---|
| Distinct (%) | 7.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 623.00069 |
| Minimum | 0.15 |
|---|---|
| Maximum | 42150 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.2 KiB |
Quantile statistics
| Minimum | 0.15 |
|---|---|
| 5-th percentile | 0.79 |
| Q1 | 0.92 |
| median | 1.35 |
| Q3 | 7.15 |
| 95-th percentile | 1300 |
| Maximum | 42150 |
| Range | 42149.85 |
| Interquartile range (IQR) | 6.23 |
Descriptive statistics
| Standard deviation | 3801.7461 |
|---|---|
| Coefficient of variation (CV) | 6.1023144 |
| Kurtosis | 81.570863 |
| Mean | 623.00069 |
| Median Absolute Deviation (MAD) | 0.43 |
| Skewness | 8.4824754 |
| Sum | 565061.63 |
| Variance | 14453274 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.92 | 198 | |
| 1 | 93 | 10.3% |
| 0.79 | 93 | 10.3% |
| 1.52 | 86 | 9.5% |
| 1.35 | 82 | 9.0% |
| 10.45 | 21 | 2.3% |
| 0.89 | 20 | 2.2% |
| 1300 | 20 | 2.2% |
| 4.65 | 16 | 1.8% |
| 3.75 | 16 | 1.8% |
| Other values (55) | 262 |
| Value | Count | Frequency (%) |
| 0.15 | 3 | 0.3% |
| 0.31 | 5 | 0.6% |
| 0.38 | 5 | 0.6% |
| 0.79 | 93 | |
| 0.89 | 20 | 2.2% |
| 0.92 | 198 | |
| 1 | 93 | |
| 1.34 | 12 | 1.3% |
| 1.35 | 82 | |
| 1.52 | 86 |
| Value | Count | Frequency (%) |
| 42150 | 5 | 0.6% |
| 24450 | 1 | 0.1% |
| 15640 | 1 | 0.1% |
| 15600 | 7 | 0.8% |
| 15000 | 5 | 0.6% |
| 12300 | 5 | 0.6% |
| 3950 | 6 | 0.7% |
| 1320.5 | 3 | 0.3% |
| 1300 | 20 | |
| 860.2 | 1 | 0.1% |
Interactions
Correlations
| Duration_Years | Exchange_Rate | Insurance_USD | Level | Living_Cost_Index | Rent_USD | Tuition_USD | Visa_Fee_USD | |
|---|---|---|---|---|---|---|---|---|
| Duration_Years | 1.000 | 0.045 | -0.017 | 0.789 | -0.058 | 0.032 | 0.128 | 0.082 |
| Exchange_Rate | 0.045 | 1.000 | -0.529 | 0.000 | -0.453 | -0.462 | -0.202 | -0.234 |
| Insurance_USD | -0.017 | -0.529 | 1.000 | 0.039 | 0.802 | 0.734 | 0.371 | 0.321 |
| Level | 0.789 | 0.000 | 0.039 | 1.000 | 0.039 | 0.087 | 0.190 | 0.136 |
| Living_Cost_Index | -0.058 | -0.453 | 0.802 | 0.039 | 1.000 | 0.832 | 0.312 | 0.262 |
| Rent_USD | 0.032 | -0.462 | 0.734 | 0.087 | 0.832 | 1.000 | 0.600 | 0.476 |
| Tuition_USD | 0.128 | -0.202 | 0.371 | 0.190 | 0.312 | 0.600 | 1.000 | 0.558 |
| Visa_Fee_USD | 0.082 | -0.234 | 0.321 | 0.136 | 0.262 | 0.476 | 0.558 | 1.000 |
Missing values
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Sample
| Country | City | University | Program | Level | Duration_Years | Tuition_USD | Living_Cost_Index | Rent_USD | Visa_Fee_USD | Insurance_USD | Exchange_Rate | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | USA | Cambridge | Harvard University | Computer Science | Master | 2.0 | 55400 | 83.5 | 2200 | 160 | 1500 | 1.00 |
| 1 | UK | London | Imperial College London | Data Science | Master | 1.0 | 41200 | 75.8 | 1800 | 485 | 800 | 0.79 |
| 2 | Canada | Toronto | University of Toronto | Business Analytics | Master | 2.0 | 38500 | 72.5 | 1600 | 235 | 900 | 1.35 |
| 3 | Australia | Melbourne | University of Melbourne | Engineering | Master | 2.0 | 42000 | 71.2 | 1400 | 450 | 650 | 1.52 |
| 4 | Germany | Munich | Technical University of Munich | Mechanical Engineering | Master | 2.0 | 500 | 70.5 | 1100 | 75 | 550 | 0.92 |
| 5 | Japan | Tokyo | University of Tokyo | Information Science | Master | 2.0 | 8900 | 76.4 | 1300 | 220 | 750 | 145.80 |
| 6 | Netherlands | Amsterdam | University of Amsterdam | Artificial Intelligence | Master | 1.0 | 15800 | 73.2 | 1500 | 180 | 720 | 0.92 |
| 7 | Singapore | Singapore | National University of Singapore | Finance | Master | 1.5 | 35000 | 81.1 | 1900 | 90 | 800 | 1.34 |
| 8 | France | Paris | Sorbonne University | International Relations | Master | 2.0 | 4500 | 74.6 | 1400 | 99 | 650 | 0.92 |
| 9 | Switzerland | Zurich | ETH Zurich | Physics | Master | 2.0 | 1460 | 91.5 | 2100 | 88 | 1200 | 0.89 |
| Country | City | University | Program | Level | Duration_Years | Tuition_USD | Living_Cost_Index | Rent_USD | Visa_Fee_USD | Insurance_USD | Exchange_Rate | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 897 | Saudi Arabia | Makkah | Umm Al-Qura University | Information Technology | PhD | 4.0 | 4300 | 65.8 | 650 | 200 | 800 | 3.75 |
| 898 | USA | San Francisco | Stanford University | Data Science | Master | 2.0 | 55000 | 95.2 | 2400 | 160 | 1500 | 1.00 |
| 899 | UK | Leeds | University of Leeds | Computer Engineering | Master | 2.0 | 35000 | 63.2 | 900 | 485 | 800 | 0.79 |
| 900 | Spain | Zaragoza | University of Zaragoza | Artificial Intelligence | PhD | 4.0 | 2900 | 63.2 | 650 | 80 | 750 | 0.92 |
| 901 | Italy | Padua | University of Padua | Software Engineering | Master | 2.0 | 3400 | 69.5 | 900 | 120 | 700 | 0.92 |
| 902 | France | Strasbourg | University of Strasbourg | Data Analytics | Master | 2.0 | 4000 | 70.2 | 1000 | 99 | 850 | 0.92 |
| 903 | Malaysia | Nilai | USIM | Computer Science | Bachelor | 3.0 | 6800 | 50.5 | 400 | 120 | 400 | 4.65 |
| 904 | Saudi Arabia | Al-Ahsa | King Faisal University | Information Systems | Master | 2.0 | 4200 | 64.2 | 600 | 200 | 800 | 3.75 |
| 905 | USA | Seattle | University of Washington | Software Development | PhD | 5.0 | 50000 | 77.8 | 2000 | 160 | 1500 | 1.00 |
| 906 | UK | Nottingham | University of Nottingham | Data Engineering | Master | 2.0 | 34000 | 61.2 | 800 | 485 | 800 | 0.79 |